On-Premise AI
Your models. Your hardware. Nothing leaves the building.
Every prompt you send to a cloud API is a copy of your data on someone else's computer. For most companies that trade is fine. For some it is not, and paperwork does not change that. We deploy and operate frontier-grade open models on hardware you own, inside networks you control, with an audit trail that ends at your door.
Penetration testers
Client data, exploits and findings never touch a third-party API. Run models against engagement data on hardware you control, inside the scope you signed.
Research teams
Unpublished work stays unpublished. Models run next to your data, not the other way around. No training on your inputs, because nothing ever leaves.
When a DPA is not enough
Some data cannot be covered by a signed promise. Medical, legal, defense, or simply yours. The only DPA that always holds is the one you never need.
Assess
We map your workload, data boundary and hardware reality. You get a written deployment plan and a number before anything is bought.
Pilot
A single node in your rack running open-weight models against your real workload. This is where our methodology keeps entry cheap: prove it small, on hardware that can be repurposed if the answer is no.
Deploy
The pilot scales to production only when the numbers say so. Quantized or full-precision, air-gapped if required, monitored by us or handed over entirely.
On-premise AI is a real investment in hardware, setup and tuning. We size it to your workload, not to a fixed package.
Start with the assessment. It is scoped like a consulting engagement, and you leave it knowing exactly what your case takes, before anyone buys a thing.
Nonprofit or research lab? We run a discount program. Write to us separately at info@wminus.com and tell us what you are working on.
Start with the boundary.
Tell us what the data is and where it must not go. We will tell you what it takes to keep it there.